气固流化床信息传输和流型识别

INFORMATION TRANSMISSION AND FLOW REGIMES IDENTIFICATION IN GAS-SOLID FLUIDIZED BED

在互信息理论和涨落复杂性理论基础上 ,计算了压差、压力及光纤颗粒浓度 3种不同传感器测量时间序列之间信息传递的复杂性测度 ,建立了多传感器信息传输矩阵ITM ,并定义了矩阵平均值特征参数MITM .研究了矩阵平均值MITM在不同流化状态下的变化规律 。

Differential pressure, pressure fluctuation and particle concentration are important parameters in gas-solid fluidized beds. Based on the concept of mutual information in Shannon information theory, information transmission time series are adopted to investigate the dependence between these three different parameters in a fluidized bed. Fluctuation complexity is used to denote the dynamic characteristics of information transmission, and hence information transmission matrix is calculated. The means of information transmission matrix (MITM) in various operating conditions, such as different superficial gas velocities, static bed heights and average particle diameters, are discussed. The experimental results indicate that MITM is sensitive to fluidization regimes and it provides more information than single parameter analysis does.